oldsplit – Create a visibility subset from an existing visibility set – manipulation task

Description

T H I S T A S K I S D E P R E C A T E D I T W I L L B E R E M O V E D S O O N

Oldsplit is the general purpose program to make a new data set that is a subset or averaged form of an existing data set. General selection parameters are included, and one or all of the various data columns (DATA, LAG_DATA and/or FLOAT_DATA, and possibly MODEL_DATA and/or CORRECTED_DATA) can be selected.

Oldsplit is often used after the initial calibration of the data to make a smaller measurement set with only the data that will be used in further flagging, imaging and/or self-calibration. Oldsplit can average over frequency (channels) and time (integrations).

Parameters

Title
Parameter	Default	Description
vis	`''`
outputvis	`''`
datacolumn	`'corrected'`
field	`''`
spw	`''`
width	`int(1)`
antenna	`''`
timebin	`'0s'`
timerange	`''`
scan	`''`
intent	`''`
array	`''`
uvrange	`''`
correlation	`''`
observation	`''`
combine	`''`
keepflags	`True`
keepmms	`False`

Parameter Explanations

vis

''

Name of input measurement set

outputvis

''

Name of output measurement set

datacolumn

'corrected'

Which data column(s) to Oldsplit out

field

''

Select field using ID(s) or name(s)

spw

''

Select spectral window/channels

width

int(1)

Number of channels to average to form one output channel

antenna

''

Select data based on antenna/baseline

timebin

'0s'

Bin width for time averaging

timerange

''

Select data by time range

scan

''

Select data by scan numbers

intent

''

Select data by scan intents

array

''

Select (sub)array(s) by array ID number

uvrange

''

Select data by baseline length

correlation

''

Select correlations

observation

''

Select by observation ID(s)

combine

''

Let time bins span changes in scan and/or state

keepflags

True

If practical, keep completely flagged rows instead of dropping them.

keepmms

False

If the input is a multi-MS, make the output one, too. (experimental)